# #managed — MDRSS hashtag feed > Public MDRSS cards tagged #managed. > Canonical feed: https://mdrss.com/feeds/managed ## Cards (16) ### [Managed Agents — TypeScript](https://mdrss.com/ai-agents/agent-design-and-orchestration/901155/901155.md) List files the agent wrote to /mnt/session/outputs/ during a session, then. Use it to ground design choices in named patterns, trade-offs and examples. Classification: ai-agents/agent-design-and-orchestration · Feed: ai-agents · Updated: 2026-08-04T13:54:51.641Z · Version: 1 ### [Managed Agents — Webhooks](https://mdrss.com/ai-agents/agent-design-and-orchestration/901149/901149.md) Anthropic can POST to your HTTPS endpoint when a Managed Agents resource changes state — an alternative to holding an SSE stream or polling. Payloads are thin (event type + resource IDs only); on receipt, fetch the resource for current state. Every delivery is HMAC-signed. Use it to give an agent explicit responsibilities, steps and constraints. Classification: ai-agents/agent-design-and-orchestration · Feed: ai-agents · Updated: 2026-08-04T13:54:51.641Z · Version: 1 ### [Managed Agents — Tools & Skills](https://mdrss.com/ai-agents/agent-design-and-orchestration/901148/901148.md) Override defaults for individual tools. This example enables everything except bash:. Use it to ground design choices in named patterns, trade-offs and examples. Classification: ai-agents/agent-design-and-orchestration · Feed: ai-agents · Updated: 2026-08-04T13:54:51.641Z · Version: 1 ### [Managed Agents — Self-Hosted Sandboxes](https://mdrss.com/ai-agents/agent-design-and-orchestration/901147/901147.md) With config.type: "self hosted", the agent loop stays on Anthropic's orchestration layer but tool execution moves to infrastructure you control — bash, file ops, and code run inside your container, so filesystem contents and network egress never leave your environment. Use it as a repeatable review, validation or hardening pass. Classification: ai-agents/agent-design-and-orchestration · Feed: ai-agents · Updated: 2026-08-04T13:54:51.641Z · Version: 1 ### [Managed Agents — Scheduled Deployments](https://mdrss.com/ai-agents/agent-design-and-orchestration/901146/901146.md) A scheduled deployment runs an agent on a recurring cron schedule — each firing creates a session autonomously. Use it for predictable-cadence work: nightly triage, weekly compliance scans, hourly monitors. Use it as a repeatable review, validation or hardening pass. Classification: ai-agents/agent-design-and-orchestration · Feed: ai-agents · Updated: 2026-08-04T13:54:51.641Z · Version: 1 ### [Managed Agents — Overview](https://mdrss.com/ai-agents/agent-design-and-orchestration/901145/901145.md) Managed Agents provisions a container per session as the agent's workspace. The agent loop runs on Anthropic's orchestration layer; the container is where the agent's tools execute — bash commands, file operations, code. You create a persisted Agent config (model, system pr. Use it to ground design choices in named patterns, trade-offs and examples. Classification: ai-agents/agent-design-and-orchestration · Feed: ai-agents · Updated: 2026-08-04T13:54:51.641Z · Version: 1 ### [Managed Agents — Outcomes](https://mdrss.com/ai-agents/agent-design-and-orchestration/901144/901144.md) An outcome elevates a session from conversation to work : you state what "done" looks like, and the harness runs an iterate → grade → revise loop until the artifact meets the rubric, hits max iterations, or is interrupted. A separate grader (independent context windo. Use it to ground design choices in named patterns, trade-offs and examples. Classification: ai-agents/agent-design-and-orchestration · Feed: ai-agents · Updated: 2026-08-04T13:54:51.641Z · Version: 1 ### [Managed Agents — Onboarding Flow](https://mdrss.com/ai-agents/agent-design-and-orchestration/901143/901143.md) Claude Managed Agents is a hosted agent: Anthropic runs the agent loop and provisions a sandboxed container per session where the agent's tools execute (or your own worker, with a self hosted environment — see shared/managed-agents-self-hosted-sandboxes.md). You supply an a. Use it to ground design choices in named patterns, trade-offs and examples. Classification: ai-agents/agent-design-and-orchestration · Feed: ai-agents · Updated: 2026-08-04T13:54:51.641Z · Version: 1 ### [Managed Agents — Multiagent Sessions](https://mdrss.com/ai-agents/agent-design-and-orchestration/901142/901142.md) A coordinator agent can delegate to other agents within one session. All agents share the container and filesystem ; each runs in its own thread — a context-isolated event stream with its own conversation history, model, system prompt, tools, MCP servers, and skills (from. Use it to ground design choices in named patterns, trade-offs and examples. Classification: ai-agents/agent-design-and-orchestration · Feed: ai-agents · Updated: 2026-08-04T13:54:51.641Z · Version: 1 ### [Managed Agents — Memory Stores](https://mdrss.com/ai-agents/agent-design-and-orchestration/901141/901141.md) Sessions are ephemeral by default — when one ends, anything the agent learned is gone. A memory store is a workspace-scoped collection of small text documents that persists across sessions. When a store is attached to a session (via resources ), it is mounted into the cont. Use it as a repeatable review, validation or hardening pass. Classification: ai-agents/agent-design-and-orchestration · Feed: ai-agents · Updated: 2026-08-04T13:54:51.641Z · Version: 1 ### [Managed Agents — Events & Steering](https://mdrss.com/ai-agents/agent-design-and-orchestration/901140/901140.md) Send events to a session via POST /v1/sessions/{id}/events. Use it to ground design choices in named patterns, trade-offs and examples. Classification: ai-agents/agent-design-and-orchestration · Feed: ai-agents · Updated: 2026-08-04T13:54:51.641Z · Version: 1 ### [Managed Agents — Environments & Resources](https://mdrss.com/ai-agents/agent-design-and-orchestration/901139/901139.md) Creating a session requires an environment id. Environments are reusable configuration templates for spinning up containers in Anthropic's infrastructure — you might create different environments for different use cases (e.g. data visualization vs web development, with diff. Use it to give an agent explicit responsibilities, steps and constraints. Classification: ai-agents/agent-design-and-orchestration · Feed: ai-agents · Updated: 2026-08-04T13:54:51.641Z · Version: 1 ### [Managed Agents — Core Concepts](https://mdrss.com/ai-agents/agent-design-and-orchestration/901138/901138.md) Every session has a live trace view in the Anthropic Console at https://platform.claude.com/workspaces/{workspace}/sessions/{session id}. Print this URL immediately after creating a session so the user can watch tool calls and messages stream in real time. {workspace} is th. Use it to ground design choices in named patterns, trade-offs and examples. Classification: ai-agents/agent-design-and-orchestration · Feed: ai-agents · Updated: 2026-08-04T13:54:51.641Z · Version: 1 ### [Managed Agents — Common Client Patterns](https://mdrss.com/ai-agents/agent-design-and-orchestration/901137/901137.md) Patterns you'll write on the client side when driving a Managed Agent session, grounded in working SDK examples. Use it to ground design choices in named patterns, trade-offs and examples. Classification: ai-agents/agent-design-and-orchestration · Feed: ai-agents · Updated: 2026-08-04T13:54:51.641Z · Version: 1 ### [Managed Agents — Endpoint Reference](https://mdrss.com/ai-agents/agent-design-and-orchestration/901136/901136.md) All endpoints require x-api-key and anthropic-version: 2023-06-01 headers. Managed Agents endpoints additionally require the anthropic-beta header. Use it to give an agent explicit responsibilities, steps and constraints. Classification: ai-agents/agent-design-and-orchestration · Feed: ai-agents · Updated: 2026-08-04T13:54:51.641Z · Version: 1 ### [Managed Agents — Python](https://mdrss.com/ai-agents/agent-design-and-orchestration/901131/901131.md) List files the agent wrote to /mnt/session/outputs/ during a session, then. Use it to ground design choices in named patterns, trade-offs and examples. Classification: ai-agents/agent-design-and-orchestration · Feed: ai-agents · Updated: 2026-08-04T13:54:51.641Z · Version: 1